Merge 949dbd7c56 into 954e580af0

.github/workflows/codeql.yml

@@ -17,9 +17,15 @@ on:
   pull_request:
     # The branches below must be a subset of the branches above
     branches: [ "master" ]
+    paths-ignore:
+      - '**/*.md'
+      - '**/*.txt'
+      - 'tests/tools/base.py'
+    
   schedule:
     - cron: '33 12 * * 5'
 
+
 jobs:
   analyze:
     name: Analyze

.github/workflows/quality.yml

@@ -1,23 +0,0 @@
-name: Quality
-
-on:
-  push:
-    branches: [ "master" ]
-  pull_request:
-    branches: [ "master" ]
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    strategy:
-      fail-fast: false
-    steps:
-      - name: Checkout actions
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-      - name: Init environment 
-        uses: ./.github/actions/init-environment 
-      - name: Run linter
-        run: |
-          pylint `git diff --name-only --diff-filter=d origin/master HEAD | grep -E '\.py$' | tr '\n' ' '`

README.md

@@ -38,6 +38,14 @@ Book a [1-on-1 Session with Kye](https://calendly.com/swarm-corp/30min), the Cre
 ## Usage
 We have a small gallery of examples to run here, [for more check out the docs to build your own agent and or swarms!](https://docs.apac.ai)
 
+All of the examples assume you have set your API keys in the environment:
+
+```bash
+export OPENAI_API_KEY='yourapikey'
+export ANTHROPIC_API_KEY='yourotherapikey'
+```
+
+
 ### Example in Colab:
 
 <a target="_blank" href="https://colab.research.google.com/github/kyegomez/swarms/blob/master/playground/swarms_example.ipynb">

example.py

@@ -1,5 +1,8 @@
-from swarms.models import OpenAIChat
 from swarms.structs import Flow
+import os
+
+openai_api_key = os.environ.get("OPENAI_API_KEY")
+
 
 # Initialize the language model, this model can be swapped out with Anthropic, ETC, Huggingface Models like Mistral, ETC
 llm = OpenAIChat(

sequential_workflow_example.py

@@ -1,14 +1,17 @@
 from swarms.models import OpenAIChat, BioGPT, Anthropic
 from swarms.structs import Flow
 from swarms.structs.sequential_workflow import SequentialWorkflow
-
+import os
 
 # Example usage
-api_key = ""  # Your actual API key here
+
+openai_api_key = os.environ.get("OPENAI_API_KEY")
+anthropic_api_key = os.environ.get("ANTHROPIC_API_KEY")
+
 
 # Initialize the language flow
 llm = OpenAIChat(
-    openai_api_key=api_key,
+    openai_api_key=openai_api_key,
     temperature=0.5,
     max_tokens=3000,
 )
@@ -16,7 +19,7 @@ llm = OpenAIChat(
 biochat = BioGPT()
 
 # Use Anthropic
-anthropic = Anthropic()
+anthropic = Anthropic(anthropic_api_key=anthropic_api_key)
 
 # Initialize the agent with the language flow
 agent1 = Flow(llm=llm, max_loops=1, dashboard=False)

swarms/models/layoutlm_document_qa.py

@@ -2,7 +2,6 @@
 LayoutLMDocumentQA is a multimodal good for
 visual question answering on real world docs lik invoice, pdfs, etc
 """
-from transformers import pipeline
 
 
 class LayoutLMDocumentQA:
@@ -24,7 +23,6 @@ class LayoutLMDocumentQA:
     def __init__(
         self,
         model_name: str = "impira/layoutlm-document-qa",
-        task_type: str = "document-question-answering",
     ):
         self.model_name = model_name
         self.task_type = task_type